Data Engineer

Data Engineer / Scientist (Healthcare Analytics) Gold Coast Primary Health Network – Robina QLD We are seeking a Data Engineer / Scientist (Healthcare Analytics) to lead the charge in designing and delivering innovative, scalable data solutions that power secure data management and advanced analytics across the health sector. In this pivotal role, you will drive a landmark data linkage project connecting general practice and hospital data—unlocking insights that enable smarter, evidence-based decisions. Your work will transform health outcomes not only for the Gold Coast community but across Queensland, improving the health system at scale. About Us Gold Coast Primary Health Network (GCPHN) is an independent, not-for-profit company, one of 31 Primary Health Networks established by the Australian Government. We identify the health needs of our local community, then fund and improve primary health services to keep people well and out of hospital. GCPHN is building ‘one world-class health system for the Gold Coast’ and we know we can’t do it alone. What We Offer Remuneration package of $134,367 - $148,824 + Super Flexible work arrangements that support work-life balance, including access to remote or hybrid working policy, with the requirement to travel to the office as needed Salary packaging (Fringe Benefit Tax exemptions) up to $15,900 p.a. + $2,650 p.a. meal and entertainment (tax-free income) Exceptional organisational reputation with established relationships in primary health care Additional benefits of 5 weeks of annual leave per year, paid parental leave, plus annual CPI salary increases Benchmarked 'Soaring' workplace culture, with a supportive and collaborative team Convenient location at Robina (Gold Coast) with free onsite parking About the Role As the Data Engineer / Scientist, you will play a key role in transforming how health data is collected, linked, and analysed to support strategic decision-making and improve health outcomes. Working within a centralised Azure-based data infrastructure, you will lead the development of data pipelines, implement privacy-preserving record linkage, and apply advanced analytics and machine learning techniques to generate actionable insights. You will play a pivotal role in delivering secure, scalable data solutions that power innovation across the Gold Coast and influence statewide and national initiatives. Collaborating closely with internal teams and external partners, you will drive projects that not only transform integrated care locally but set the standard for health outcomes across Queensland. This is your opportunity to make a lasting impact—regionally and beyond. Key Responsibilities Design and maintain scalable data engineering solutions using Microsoft Azure tools (Synapse, Fabric, Data Factory) Lead the linkage of general practice and hospital data using Privacy Preserving Record Linkage (PPRL) Develop and optimise ETL pipelines and integrate APIs to support robust data workflows Apply machine learning and AI techniques to support predictive modelling and advanced analytics Build and maintain Power BI dashboards and productivity tools to support data-driven decision-making Ensure data governance, privacy, and security standards are upheld (e.g., ISO27001, FHIR) Collaborate with cross-functional teams and communicate complex data insights to non-technical stakeholders Support analytics maturity uplift across the organisation and contribute to strategic projects Eligibility Criteria Tertiary qualifications in Data Science, Computer Science, Information Systems, Software Engineering, Statistics, or a related discipline Minimum 3 years’ experience managing and optimising data repositories within the Microsoft Azure ecosystem Strong experience with ETL tools (Azure Data Factory, Synapse, Fabric) and API integration Demonstrated expertise in privacy-preserving data linkage and healthcare data environments Advanced proficiency in SQL and database design Experience with Power BI and scripting (e.g., PowerShell) Familiarity with ISO27001, FHIR standards, and privacy legislation Excellent communication skills with the ability to present complex data to diverse audiences Strong organisational and project management skills Proficiency in Python, R, DAX, Java, or C#Experience in primary health care or epidemiological data analysis How to Apply To apply, please submit a cover letter addressing the selection criteria along with your current resume. Your cover letter should include specific examples that demonstrate your relevant experience, knowledge, and capabilities for the role. Applications close Thursday 27th November at 9:00am. Please note that the successful candidate will be required to undergo National Police Clearance. #J-18808-Ljbffr